Efficient Nonlinear Adaptive Filters

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Publisher : Springer Nature
ISBN 13 : 3031208188
Total Pages : 271 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Efficient Nonlinear Adaptive Filters by : Haiquan Zhao

Download or read book Efficient Nonlinear Adaptive Filters written by Haiquan Zhao and published by Springer Nature. This book was released on 2023-02-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also written to accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.

Advanced Signal Processing Handbook

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Publisher : CRC Press
ISBN 13 : 1420037390
Total Pages : 752 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Advanced Signal Processing Handbook by : Stergios Stergiopoulos

Download or read book Advanced Signal Processing Handbook written by Stergios Stergiopoulos and published by CRC Press. This book was released on 2000-12-21 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The chall

Principles of Adaptive Filters and Self-learning Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9781852339845
Total Pages : 412 pages
Book Rating : 4.3/5 (398 download)

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Book Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich

Download or read book Principles of Adaptive Filters and Self-learning Systems written by Anthony Zaknich and published by Springer Science & Business Media. This book was released on 2005-04-25 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems

Complex Valued Nonlinear Adaptive Filters

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Publisher : John Wiley & Sons
ISBN 13 : 0470742631
Total Pages : 344 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Complex Valued Nonlinear Adaptive Filters by : Danilo P. Mandic

Download or read book Complex Valued Nonlinear Adaptive Filters written by Danilo P. Mandic and published by John Wiley & Sons. This book was released on 2009-04-20 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.

Adaptive Learning Methods for Nonlinear System Modeling

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128129778
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Adaptive Learning Methods for Nonlinear System Modeling by : Danilo Comminiello

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

Adaptive Filters

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Publisher : John Wiley & Sons
ISBN 13 : 1118210840
Total Pages : 1295 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Adaptive Filters by : Ali H. Sayed

Download or read book Adaptive Filters written by Ali H. Sayed and published by John Wiley & Sons. This book was released on 2011-10-11 with total page 1295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.

Information Technology and Applications

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Publisher : CRC Press
ISBN 13 : 1315687216
Total Pages : 400 pages
Book Rating : 4.3/5 (156 download)

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Book Synopsis Information Technology and Applications by : Xiaolong Li

Download or read book Information Technology and Applications written by Xiaolong Li and published by CRC Press. This book was released on 2015-04-07 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Technology (IT) is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise. IT has become one of the most fundamental technologies in today‘s social life, and there are many unsolved issues related to IT and its applications.Th

Concept of Adaptive Filtering

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Author :
Publisher : TSG Publications
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4./5 ( download)

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Book Synopsis Concept of Adaptive Filtering by : Shivendra Nandan

Download or read book Concept of Adaptive Filtering written by Shivendra Nandan and published by TSG Publications. This book was released on with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: A spline adaptive filter (SAF) based nonlinear active noise control (ANC) system is proposed in this paper. The SAF consists of a linear network of adaptive weights in a cascade with an adaptive nonlinear network. The nonlinear network, in turn consists of an adaptive look-up table followed by a spline interpolation network and forms an adaptive activation function. An update rule has been derived for the proposed ANC system, which not only updates the weights of the linear network, but also updates the nature of the activation function. Linear Network is based on improvement in FxLMS algorithm. FxLMS algorithm is used because it is computationally simple like the most commonly used Least Mean Square (LMS) algorithm. In addition, it includes secondary path effects. To make the FxLMS algorithm more effective, the secondary path estimation should be more precise and accurate. The nonlinear function involved in the adaptation process is based on a spline function that can be modified during learning. The spline control points are adaptively changed using gradient-based techniques. B-splines and Catmull-Rom splines are used, because they allow imposing simple constraints on control parameters. This new kind of adaptive function is then applied to the output of a linear adaptive filter and it is used for the identification of Wiener-type nonlinear systems. In addition, we derive a simple form of the adaptation algorithm and an upper bound on the choice of the step-size. An extensive simulation study has been conducted to evaluate the noise mitigation performance of the proposed scheme and the new method has been shown to provide improved noise cancellation efficiency with a lesser computational load in comparison with other popular ANC systems.

Nonlinear Control and Filtering Using Differential Flatness Approaches

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Publisher : Springer
ISBN 13 : 3319164201
Total Pages : 755 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Nonlinear Control and Filtering Using Differential Flatness Approaches by : Gerasimos G. Rigatos

Download or read book Nonlinear Control and Filtering Using Differential Flatness Approaches written by Gerasimos G. Rigatos and published by Springer. This book was released on 2015-06-05 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows how differential flatness theory can provide solutions to complicated control problems, such as those appearing in highly nonlinear multivariable systems and distributed-parameter systems. Furthermore, it shows that differential flatness theory makes it possible to perform filtering and state estimation for a wide class of nonlinear dynamical systems and provides several descriptive test cases. The book focuses on the design of nonlinear adaptive controllers and nonlinear filters, using exact linearization based on differential flatness theory. The adaptive controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop under uncertainty and varying operating conditions. The filters obtained outperform other nonlinear filters in terms of accuracy of estimation and computation speed. The book presents a series of application examples to confirm the efficiency of the proposed nonlinear filtering and adaptive control schemes for various electromechanical systems. These include: · industrial robots; · mobile robots and autonomous vehicles; · electric power generation; · electric motors and actuators; · power electronics; · internal combustion engines; · distributed-parameter systems; and · communication systems. Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.

Role of Edge Analytics in Sustainable Smart City Development

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Publisher : John Wiley & Sons
ISBN 13 : 1119681308
Total Pages : 352 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Role of Edge Analytics in Sustainable Smart City Development by : G. R. Kanagachidambaresan

Download or read book Role of Edge Analytics in Sustainable Smart City Development written by G. R. Kanagachidambaresan and published by John Wiley & Sons. This book was released on 2020-07-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.

Efficiency and Scalability Methods for Computational Intellect

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Publisher : IGI Global
ISBN 13 : 1466639431
Total Pages : 370 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Efficiency and Scalability Methods for Computational Intellect by : Igelnik, Boris

Download or read book Efficiency and Scalability Methods for Computational Intellect written by Igelnik, Boris and published by IGI Global. This book was released on 2013-04-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.

Machine Learning in Signal Processing

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Publisher : CRC Press
ISBN 13 : 1000487792
Total Pages : 389 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning in Signal Processing by : Sudeep Tanwar

Download or read book Machine Learning in Signal Processing written by Sudeep Tanwar and published by CRC Press. This book was released on 2021-12-09 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Kernel Adaptive Filtering

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Publisher : John Wiley & Sons
ISBN 13 : 1118211219
Total Pages : 167 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Kernel Adaptive Filtering by : Weifeng Liu

Download or read book Kernel Adaptive Filtering written by Weifeng Liu and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.

Proceedings of the International Conference on Intelligent Systems and Networks

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Publisher : Springer Nature
ISBN 13 : 9819755042
Total Pages : 785 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of the International Conference on Intelligent Systems and Networks by : Thi Dieu Linh Nguyen

Download or read book Proceedings of the International Conference on Intelligent Systems and Networks written by Thi Dieu Linh Nguyen and published by Springer Nature. This book was released on with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Digital Image and Signal Processing for Measurement Systems

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Publisher : CRC Press
ISBN 13 : 1000795071
Total Pages : 304 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Digital Image and Signal Processing for Measurement Systems by : J. Richard Duro

Download or read book Digital Image and Signal Processing for Measurement Systems written by J. Richard Duro and published by CRC Press. This book was released on 2022-09-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of advanced digital image and signal processing techniques that are currently being applied in the realm of measurement systems. The book is a selection of extended versions of the best papers presented at the Sixth IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2011 related to this topic and encompass applications that go from multidimensional imaging to evoked potential detection in brain computer interfaces. The objective was to provide a broad spectrum of measurement applications so that the different techniques and approaches could be presented.Digital Image and Signal Processing for Measurement Systems concentrates on signal processing for measurement systems and its objective is to provide a general overview of the area and an appropriate introduction to the topics considered. This is achieved through 10 chapters devoted to current topics of research addressed by different research groups within this area. These 10 chapters reflect advances corresponding to signals of different dimensionality. They go from mostly one dimensional signals in what would be the most traditional area of signal processing realm to RGB signals and to signals of very high dimensionality such as hyperspectral signals that can go up to dimensionalities of more than one thousand. The chapters have been thought out to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. They provide an overview of some of the problems in the area of signal and image processing for measurement systems and the approaches and techniques that relevant research groups within this area are employing to try to solve them which, in many instances are the state of the art of some of these topics.

System Identification 2003

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Publisher : Elsevier
ISBN 13 : 0080913156
Total Pages : 2092 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis System Identification 2003 by : Paul Van Den Hof

Download or read book System Identification 2003 written by Paul Van Den Hof and published by Elsevier. This book was released on 2004-06-29 with total page 2092 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems*Provides the latest research on System Identification*Contains contributions written by experts in the field*Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Advances in Principal Component Analysis

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Publisher : BoD – Books on Demand
ISBN 13 : 1803557656
Total Pages : 254 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Advances in Principal Component Analysis by : Fausto Pedro García Márquez

Download or read book Advances in Principal Component Analysis written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2022-08-25 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes and discusses the use of principal component analysis (PCA) for different types of problems in a variety of disciplines, including engineering, technology, economics, and more. It presents real-world case studies showing how PCA can be applied with other algorithms and methods to solve both large and small and static and dynamic problems. It also examines improvements made to PCA over the years.